61 results about "Error tolerance" patented technology

The invention relates to the technical field of vehicle braking control, in particular to a self-adaptive error tolerance automatic emergency braking system and method, and provides a self-adaptive error tolerance automatic emergency braking system and a forward collision early warning system. The method aims at solving the accuracy problem caused by sensor errors in an existing system. The method specifically comprises the following steps: introducing a first-order error propagation model to quantify a key safety index error; comprising the steps of collision time real-time estimation based on a forward sensor, error propagation and tolerance analysis and FCW / AEB trigger logic design introducing a fault-tolerant band. In the design, the maximum tolerance error is set, and the sensor index requirement is reversely deduced, so that the robustness and safety of the system are improved, a quantifiable fault-tolerant boundary is provided for the AEB system, the application effect of the system in a complex road environment is improved, and the method is particularly suitable for high-risk scenes such as expressways and urban expressways and has wide application prospects. And the fault-tolerant capability and the practical application effect of the system are enhanced.

The invention relates to the technical field of structural design and optimization, and particularly discloses a structural error tolerance model construction method for compartment connection positioning, which comprises the following steps of: obtaining real point cloud data of a bolt connection pair through three-dimensional laser scanning, and realizing parameterized digital geometric modeling in combination with a deep neural network; material attributes are given, and self-adaptive grid division is carried out; generating a dynamic load sequence based on a vehicle driving condition, applying the dynamic load sequence to the model, and extracting full-field displacement vector data by using a digital image correlation technology; further identifying a micro-slip area of the contact interface, and calculating an energy dissipation index of the micro-slip area; a quantitative mapping relation between energy dissipation and fatigue life is established through experimental calibration, key design parameters are iteratively optimized by adopting a pattern search method with the target life as a constraint, and finally a connection structure scheme meeting the durability requirement is output.

The invention discloses a large language model agent system and method and related equipment. The large language model agent system comprises an input analyzer module, a strategy generation module, an execution controller module, a task result evaluation module, an reflection module and a strategy rewriting module, and a self-adaptive optimization closed loop for task execution is formed through the reflection module and the strategy rewriting module. Wherein the reflection module can generate a report containing failure reasons, and the problem of failure diagnosis is solved; the strategy rewriting module optimizes a plan according to a report, adjusts tool calling, and realizes self-learning and strategy reconstruction; the closed-loop design forms a complete cognitive process, and an input analyzer guarantees the stability of prompt. According to the system, the task completion rate, the execution stability and the scene adaptability are remarkably improved, the robustness and the error tolerance in a multi-step complex task are particularly enhanced, and the key blank of an existing language model agent system in the aspects of self-reflection and self-optimization is filled.

A system, method, and computer-program product includes receiving a plurality of vector embeddings having an initial dimensionality and projecting the plurality of vector embeddings into lower-dimensional spaces using at least two different dimension reduction algorithms to generate corresponding sets of projected vector embeddings. Each set of projected embeddings may be quantized and nearest neighbors for the original embeddings and for each quantized set of projected embeddings may be calculated. Additionally, a neighbor preservation metric may be evaluated for each quantized set by comparing its nearest neighbors to those of the original embeddings. Based on the neighbor preservation metrics and a predefined error tolerance, an optimal compression configuration may be selected.

Disclosed in the embodiments of the present application are a data storage method and apparatus, a device, and a non-transitory readable storage medium. According to the embodiments of the present application, F parity blocks occupying blank storage areas are added to a RAID system, which not only increases error tolerance but also eliminates the need for additional parity disks. During data storage, corresponding original check codes are solved according to an original encoding method, and additional check codes located on the parity blocks are solved simultaneously. Thus, it is possible to recover more erroneous data based on the original check codes and the additional check codes. When an error occurs in a disk in which any block in a stripe is located and data loss occurs in other blocks of the same stripe, the corresponding data can still be recovered.

Data security for a dataset in interactive query or operation from users regarding data stored in the dataset is provided. A method for providing data security for the dataset in secure data computation and communication includes generating a query result corresponding to the user query for the dataset, determining a magnitude range of the query result, and generating an amount of random noise data based on the magnitude range. The amount of random noise data is calibrated by adjusting at least one of a first tunable parameter within a first range and a second tunable parameter within a second range of a differential privacy (DP) configuration. A noise-laden query result is generated by applying the noise data to the query result to satisfy an error tolerance level.

The invention discloses a target data selection method based on an approximate Shapley value, electronic equipment and a medium. The target data selection method comprises the steps of obtaining a ratio of a source data set to a target utility, and calculating a total utility value and a target utility value. And screening to obtain an extended sample and a feature set. And sample optimization: carrying out Monte Carlo sampling on the expanded sample set to generate random arrangement, forming a plurality of third subsets and calculating utility values of the third subsets. And after a sample Shapley value is calculated, selecting a subset with the minimum error to carry out iterative sample replacement. And if the error reduction degree is smaller than a second threshold value, re-sampling, otherwise, taking a subset of which the error is smaller than a third threshold value as an initial candidate. And if the final error still exceeds the tolerance threshold, turning to feature optimization. And feature optimization: the process is similar to sample optimization, and feature iteration and replacement are guided through a Shapley value. And alternately optimizing the sample subsets and the feature subsets until the utility value error of the combined candidate set (the candidate sample subsets + the candidate feature subsets) is smaller than an error tolerance threshold.

The invention relates to the technical field of numerical control machining, in particular to a CNC closed-loop control method based on a dynamic feature model in a CAD / CAM environment. The method comprises the following steps: extracting a tolerance mark value of each processing surface in a CAD model, and mapping the tolerance mark value into an error tolerance budget of a corresponding track segment; the geometric curvature and the feeding speed set value of each track section in the machining program are analyzed from the CAM system, and the predicted contour error of each track section at the current speed is calculated according to the geometric curvature and the feeding speed set value; comparing the predicted contour error of each trajectory segment with the corresponding error tolerance budget, and calculating a tolerance margin; and marking the track section of which the tolerance margin is a negative value as an error overrun section. According to the method, tolerance transfer is carried out from the tolerance surplus section to the error over-limit section, so that error tolerance resources are redistributed among different track sections, and the stability and adaptability of processing beat control under a complex processing path are enhanced.

The present application discloses a communication method and apparatus. The method comprises: a network device sends a first data block to a terminal, the first data block corresponding to a first check code; and the terminal sends first information to the network device, the first information being used for indicating that the first data block has been successfully received or that the first data block has not been successfully received, the first information being determined on the basis of a first error tolerance rate and a check result corresponding to the first data block, and the check result being determined on the basis of the first check code. The described method can reduce excessive retransmissions caused by unsuccessful transmission of a first data block, thereby increasing system throughput of a communication system.

The present invention discloses a method for guiding in the later stage of coaxial assembly based on machine vision, which is used to improve the degree of automation of assembly operations. The steps include: installing a camera at the front of the active end of the assembly to collect operation images, and pasting a target on the passive end of the assembly for end point identification, so as to form an assembly vision end navigation system; preprocessing the collected images to obtain a binary image containing the target image area; constructing a multi-level filter to filter the binary image to obtain a binary image with only target information; performing sub-pixel accuracy calculation on the target binary image to obtain the pixel position coordinates of the target; calibrating the camera to obtain the relationship between pixels and physical movement distances; calculating the offset distance for assembly navigation; after the navigation is completed, collecting the scene images again for error analysis. If the requirements are met, the assembly navigation is ended. If not, compensation is performed through step-by-step movement until the error tolerance requirements are met.

The invention relates to a digital multi-bit RRAM calculation method and device for protecting high-weight data, and the method comprises the steps: carrying out the separated processing of the output of a multi-bit RRAM, storing a plurality of pieces of weight data in one RRAM, and carrying out the separation protection or direct output to protect the high order, so as to guarantee the accuracy of the data; according to the method, the fault-tolerant rate of neural network convolution is combined, the calculation power consumption is greatly reduced in the test process, the accuracy and the power consumption are balanced, the multiplication and addition calculation is more flexible, and the data reliability is greatly ensured. Therefore, the problems that due to the fact that the output of the RRAM is very dense and instability exists in the RRAM, drifting possibly exists, and part of data is prone to being flipped are solved.

The invention provides a distributed new energy asset chaining method and system based on error control, and belongs to the field of block chain technology and asset digitization. According to the method, operation data under a chain are obtained, reported through a plurality of independent oracle machine nodes and aggregated on the chain to form a consensus state, and then the consensus state is verified according to error tolerance parameters. If the verification is passed, updating a corresponding real world asset token state; and if the verification is not passed, the token is placed in a function-limited risk state, and the chain interaction of the token is limited. According to the method, the data error is converted into a manageable state on a chain instead of a system exception, so that the problem that the availability of the system is reduced due to the data error in the prior art is solved, and the robustness of the system is improved.

An error-tolerant communication method and apparatus. The method comprises: an access network device sends a plurality of data units to a terminal, the plurality of data units corresponding to a first feature stream; and the terminal sends feedback information for the plurality of data units on the basis of the transmission condition of the plurality of data units and an error tolerance range of the first feature stream. By means of the solution, the terminal performs feedback on the basis of the transmission condition of the plurality of data units and the error tolerance range of the first feature stream, and does not necessarily perform transmission error feedback for a data unit having a transmission error (for example, does not necessarily feed back a NACK for a data unit having a transmission error), thereby reducing the number of retransmissions, and improving communication efficiency.

The invention relates to the technical field of numerical control machine tools, and provides a nonlinear error control method and system for a numerical control machine tool, and the method comprises the steps: constructing a nonlinear error dynamic calculation model fusing the axial speed and acceleration constraints, and traversing the time nodes of an interpolation period between two adjacent cutter location points, obtaining a nonlinear error value of each time node according to the nonlinear error dynamic calculation model, and obtaining a maximum nonlinear error and a corresponding actual position; taking two adjacent cutter location points and the actual position of the maximum nonlinear error as fitting feature points, and constructing a nonlinear error equivalent curvilinear equation by adopting a piecewise quadratic function fitting method; performing error control according to the nonlinear error equivalent curve equation and the error allowable value, if the nonlinear error of the interpolation section meets the precision requirement, not performing optimization, and if the nonlinear error of the interpolation section does not meet the precision requirement, performing interpolation point optimization processing to obtain a theoretical trajectory. According to the invention, the error control accuracy can be improved.

The application relates to the technical field of structural design and optimization, and particularly discloses a structural error tolerance model construction method for compartment connection positioning, which comprises the following steps: acquiring real point cloud data of a bolt connection pair through three-dimensional laser scanning, realizing parameterized digital geometric modeling in combination with a deep neural network, and giving material properties and adaptive mesh division; generating a dynamic load sequence based on a vehicle driving condition, applying the dynamic load sequence to the model, and extracting full-field displacement vector data by using a digital image correlation technology; further identifying a micro-slip area of a contact interface, and calculating an energy dissipation index of the micro-slip area; establishing a quantitative mapping relationship between the energy dissipation and fatigue life through experiment calibration, taking a target life as a constraint, iteratively optimizing key design parameters by using a pattern search method, and finally outputting a connection structure scheme meeting the durability requirement.

The utility model discloses a vermicelli machine driving device convenient to disassemble and assemble, which comprises a mounting plate and a servo driver, the front surface of the mounting plate is provided with a mounting groove, the servo driver is arranged in the mounting groove, the two sides of the servo driver are respectively and fixedly connected with a pair of positioning plates, and the positioning plates are arranged in the mounting groove. A positioning groove corresponding to the positioning plate is formed in the inner wall of the mounting groove, the positioning plate is clamped in the positioning groove, a supporting pipe is fixedly connected into the positioning groove, a through hole corresponding to the supporting pipe is formed in the positioning plate, a threaded rod is inserted into the supporting pipe in a threaded mode, and a rotating block is fixedly connected to the top end of the threaded rod in a sleeving mode; the two sides of the through hole are both provided with fault-tolerant grooves corresponding to the rotating blocks, the bottoms of the two ends of each rotating block are both fixedly connected with abutting blocks, the whole structure is simple, field assembly is convenient and fast, and the driver can be conveniently disassembled and assembled during follow-up maintenance operation.

Image super-resolution (SR) refers to the process of recovering high-resolution (HR) images from low-resolution (LR) inputs. Blind image SR is a more challenging task which involves unknown blurring kernels and characterizes the degradation process from HR to LR. In the present disclosure, embodiments of a variational autoencoder (VAE) are leveraged to train a kernel autoencoder for more accurate degradation representation and more efficient kernel estimation. In one or more embodiments, a kernel-agnostic loss is used to learn more robust kernel features in the latent space from LR inputs without using ground-truth kernel references. In addition, attention-based adaptive pooling is introduced to improve kernel estimation accuracy, and spatially non-uniform kernel features are passed into SR restoration resulting in additional kernel estimation error tolerance. Extensive experiments on synthetic and real-world images show that embodiments of the presented model outperform state-of-the-art methods significantly with the peak signal-to-noise ratio (PSNR) raised considerably.

The application provides an error upper bound device, a determination method, a medium, a terminal and a program product suitable for dynamic precision floating point multiply-accumulate operation, comprising: a feature acquisition module for acquiring a truncation compensation factor of each operand and an accumulator tolerance factor; a local threshold allocation module for allocating a local error threshold for the current multiply-accumulate operation according to a preset global error tolerance, a remaining term number, a remaining budget, an energy consumption mode and the accumulator tolerance factor; a bit budget formula calculation module for calculating the actual precision supply and precision demand of each path respectively; a determination and feedback module for determining according to the actual precision supply and precision demand calculated by each path; if each path passes, a precision pass signal is fed back; otherwise, a precision upgrade mechanism is triggered. The application can give a deterministic error upper bound for the truncation error of each multiply-accumulate operation, and ensure that the global precision target is met.

The utility model provides an aluminum grating curtain wall adjustable installation component which comprises a sliding rod, a connecting piece, an adjusting piece and an installation frame, and the sliding rod extends in the left-right direction. The connecting pieces are fixedly installed at the two ends of the sliding rod and used for being connected with a keel. The adjusting part is arranged on the sliding rod in a left-right position adjustable mode. The adjusting part comprises a vertical adjusting mechanism and a telescopic rod, a sliding frame with the vertical position adjustable is arranged on the vertical adjusting mechanism, the telescopic rod is fixedly installed on the front side face of the sliding frame, and the telescopic rod can extend in the front-back direction; the installation frame is fixedly connected to the front end of the telescopic rod, the installation frame is used for being connected with the aluminum grating unit, and the adjustable installation component of the aluminum grating curtain wall can be adjusted in three directions, so that the aluminum grating unit and the installation component can be connected firstly, secondary adjustment can be conducted on site, the error tolerance is improved, on-site disassembly and assembly are not needed, and manpower is saved.

A data storage device and a screening method of error tolerance thereof includes: writing data to data blocks of the data storage device; reading the written data of the data blocks as read data; comparing the read data and the written data of each data column in the data blocks to calculate the error bit number of each data column, and to calculate the error bit number of each block including a plurality of data columns, respectively; selecting a block with the largest error bit number to record a data column with the largest error bit number in the block as a damaged data column; calculating the difference between the error bit number of the block and a first threshold value to store the difference in an error tolerance list until the number of damaged data columns is equal to a second threshold value; and selecting the difference with the largest positive integer in the error tolerance list as the error tolerance.

A control circuit, a memory system and a control method are provided. The control circuit is configured to control a plurality of memory cells of a memory array. The control circuit comprises a program controller. The program is configured to program a first electrical characteristic distribution and a second electrical characteristic distribution of the memory cells according to error tolerance of a first bit of a data type. A first overlapping area between the first electrical characteristic distribution and the second electrical characteristic distribution is smaller than a first predetermined value.

The invention discloses an intelligent verification method for time series data of a transformer substation based on object model mapping, belongs to the technical field of intelligent power grids, and aims to solve the problems of rule lag, poor error tolerance and high data dependence in the prior art. S2, multi-source data mapping normalization is carried out; s3, checking the self-adaptive threshold value of a single measuring point; s4, multi-measuring-point correlation constraint verification is carried out; s5, fusing and outputting multi-source verification results; according to the method, through a dual verification mechanism formed by single-measurement-point adaptive threshold verification and multi-measurement-point correlation constraint verification, the physical law and the real-time operation state are combined, so that the complex anomaly can be identified more accurately, and the false alarm rate and the missing report rate of a single method are remarkably reduced.

This invention provides a video encoding method that can improve the error tolerance of video decoding using interpretation. [Solution] The video encoding method derives a first candidate having a first predicted motion vector based on a first motion vector used to encode a first block, determines whether the number of one or more candidates including the first candidate is less than the maximum number of candidates, and if the number of one or more candidates including the first candidate is less than the maximum number of candidates, derives a second candidate having a second predicted motion vector, encodes an index corresponding to the candidate having the predicted motion vector, the candidate is one of a plurality of candidates including the first candidate and the second candidate, and the maximum number of candidates is the same for all blocks included in the slice.

A communication method and a related device are applied to the technical field of communication. The communication method comprises the following steps: a first communication device generates a first transport block (TB) and sends the first TB to a second communication device, and correspondingly, the second communication device receives the first TB; wherein the first TB comprises at least one coding block (CB), at least one cyclic redundancy check (CRC) code corresponding to at least one bit segment exists in the at least one CB, and the at least one bit segment comprises a part of bits in the at least one CB; and the position of the at least one bit segment in the at least one CB is related to the fault-tolerant capability of the bits in the at least one CB. Through the communication method, the data transmission efficiency can be improved.

This invention belongs to the technical field of CNC machine tool control systems, specifically relating to a multi-axis control system and method for CNC machine tools based on real-time optimization. It includes: a physical digital twin kernel, used to dynamically calculate the physical limit performance surface covering the dynamic constraint boundary based on real-time acquired tool, workpiece, and machine tool status information; a real-time dynamic path optimizer, used to dynamically reconstruct the motion trajectory within a preset error tolerance channel by combining the physical limit performance surface with geometric path points within a predetermined future time window through a fusion algorithm within the control cycle; an error compensation pre-simulation module, which uses a reinforcement learning architecture to identify systematic deviation patterns and generate forward-looking feedforward compensation signals; a data acquisition feedback unit, used to construct a closed-loop feedback link between perception and execution; and a servo drive execution unit, which drives the coordinated movement of each axis of the machine tool according to instructions. This invention ensures high precision while improving feed efficiency and machining robustness.

The application provides a video decoding method, device and equipment and a storage medium. The video decoding method can intelligently identify different error types in the process of video streaming decoding, and execute error-tolerant processing instructions matched with the error types according to the actual error types encountered, without immediately interrupting the decoding process, thereby forming a gradual error recovery mechanism, which is beneficial to improving the error tolerance of the entire video streaming decoding process.

To increase the accuracy of selecting a sheet on which image formation or post-processing is performed.SOLUTION: An image processing system comprises: an error allowable range information storage unit that stores information on an allowable error range for a reference value of sheet information indicating the characteristics of a sheet; and a sheet selection unit 125 that, when an error in the sheet information acquired by a sheet reading unit reading the sheet is a value outside the error allowable range, selects a sheet linked to the sheet information of the error outside the error allowable range as a sheet on which image forming processing, post-processing, or inspection processing is not performed.SELECTED DRAWING: Figure 2

The application provides a kind of distributed new energy asset chain method and system based on error control, belongs to the field of blockchain technology and asset digitization.The method obtains off-chain operation data, reports through multiple independent oracle nodes and aggregates on the chain to form a consensus state, and then checks the consensus state according to the error tolerance parameter.If the check is passed, the corresponding real-world asset token state is updated;if the check is not passed, the token is placed in a function-limited risk state, and its on-chain interaction is limited.The application converts data errors into a manageable state on the chain rather than a system exception, solving the problem of reduced system availability caused by data errors in existing technology and improving the robustness of the system.

This application discloses a modular color-separation fixture for multi-color ribbons on rail vehicles, relating to the field of rail vehicle technology. The color-separation fixture includes: at least one color-separation fixture plate; and multiple painting through-holes disposed on the color-separation fixture plate. The multiple painting through-holes are divided into at least one group, and the painting through-holes in each group are arranged on the color-separation fixture plate according to a preset arrangement and preset intervals. This application, by combining the painting through-holes on the outer edge and inside of the color-separation fixture plate with a preset arrangement, effectively solves the problems of low accuracy, complex operation, and low error tolerance of traditional positioning and marking methods, thereby improving color-separation painting accuracy, painting efficiency, and construction accuracy.

The invention provides an error upper bound device suitable for dynamic precision floating point multiply-accumulate operation, a judgment method, a medium, a terminal and a program product. The error upper bound device comprises a feature acquisition module, a calculation module and a calculation module, wherein the feature acquisition module is used for acquiring a truncation compensation factor of each operand and an accumulator tolerance factor; the local threshold value distribution module is used for distributing a local error threshold value for the current multiply-accumulate operation according to the preset global error tolerance, the residual term number, the residual budget, the energy consumption mode and the accumulator tolerance factor; the bit budget calculation module is used for calculating the plurality of error paths to obtain the actual precision supply and precision demand of each path; the judgment and feedback module is used for judging according to the actual precision supply and precision demand calculated by each path; if each path passes, feeding back a precision passing signal; otherwise, triggering a precision upgrading mechanism. According to the method, a deterministic error upper bound can be given for the truncation error of each multiply-accumulate operation, and the global precision target is ensured to be met.